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| 基于遗传算法的常减压装置多目标优化 |
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黄小侨1,李娜1,李军1,宋丽娟2,张玉贞1,段永生3
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(1.中国石油大学重质油国家重点实验室,山东青岛 266580;2.辽宁石油化工大学,辽宁抚顺 113001;3.中石油燃料油有限责任公司研究院,山东青岛 266500)
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| 摘要: |
| 利用流程模拟软件Aspen Plus建立常减压装置稳态模型,以经济效益和CO2排放量为目标,提出基于遗传算法NSGA-Ⅱ的优化方法,利用该方法求解常减压装置多目标优化问题,从而得到一组最优混炼比和操作条件的Pareto解集。结果表明,在保证产品规格的前提下,经济效益和CO2排放量呈正比;增大轻油比例可以提高经济效益,但也必然会导致CO2排放量的增大。 |
| 关键词: 常减压 Aspen Plus软件 多目标优化 Pareto解集 混炼比 |
| DOI：10.3969/j.issn.1673-5005.2016.02.021 |
| 分类号::TP 277 |
| 文献标识码:A |
| 基金项目:山东省优秀中青年科学家科研奖励基金项目(BS2014NJ010);国家自然科学基金项目(21276279) |
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| Multi-objective optimization of crude and vacuum distillation system based on genetic algorithm |
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HUANG Xiaoqiao1, LI Na1, LI Jun1, SONG Lijuan2, ZHANG Yuzhen1, DUAN Yongsheng3
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(1.State Key Laboratory of Heavy Oil Processing in China University of Petroleum, Qingdao 266580, China;2.Liaoning Shihua University, Fushun 113001, China;3.PetroChina Fuel Oil Company limited Research Institute, Qingdao 266500, China)
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| Abstract: |
| A steady state model was developed to simulate an industrial crude distillation unit by using a process simulator Aspen Plus. On the basis of the genetic algorithm NSGA-Ⅱ, the optimization approach was proposed in terms of economic benefit and CO2 emission, through which the multi-objective optimization problem of the crude unit was solved. And the Pareto-optimal solutions of the optimal blending ratio and operational parameters were obtained. The results show that the economic benefit is proportional to the growing of CO2 emissions on the premise of keeping the product specification on the base of distribution of Pareto front. Therefore, increasing the proportion of light oil can improve economic profit and lead to increased CO2 emissions inevitably. |
| Key words: crude distillation unit Aspen Plus software multi-objective optimization Pareto front crude oil blending ratio |
